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人工智能在关联交易治理中的应用解决方案
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平安集团牵头人工智能课题入选《2025金融行业关联交易高质量发展报告》优秀案例
Xin Hua Cai Jing· 2025-12-05 08:37
Core Viewpoint - The "2025 Financial Industry Related Party Transactions High-Quality Development Report" was released, highlighting the challenges and strategies for high-quality development in financial related party transactions in China, with a focus on the application of artificial intelligence in governance [1][3]. Group 1: Regulatory Context - The increasing complexity and concealment of related party transactions in China's financial sector necessitate enhanced identification, management, and regulation by financial institutions [3]. - The 2023 Central Financial Work Conference emphasized the need for comprehensive financial regulation to effectively prevent and mitigate financial risks, leading to new regulations from the National Financial Supervision Administration [3]. Group 2: Research Focus - The research led by Ping An Group addresses pain points in related party transaction management, proposing AI-driven intelligent solutions across three dimensions [3][4]. - The first dimension involves intelligent identification and dynamic management of related parties, utilizing multi-source data integration and advanced technologies to enhance accuracy and timeliness in identifying related entities [3][4]. Group 3: Intelligent Solutions - The second dimension focuses on fair pricing intelligent review and support, advocating for a standardized pricing database and AI technologies to automate the review of pricing fairness, thereby improving efficiency and quality [4]. - The third dimension emphasizes data statistics and intelligent analysis, introducing tools for automated data collection and reporting, which facilitate real-time decision-making and risk monitoring [4]. Group 4: Industry Implications - The research aligns with national regulatory directions and industry needs, showcasing a proactive shift from "passive compliance" to "active risk prevention" through the use of cutting-edge technology [4]. - Such explorations are expected to enhance the precision and automation of related party transaction management, significantly contributing to financial risk prevention and improving corporate governance effectiveness [4]. Group 5: Future Directions - Ping An Group plans to continue advancing the application of AI and other technological innovations in risk management and corporate governance, reinforcing the commitment to financial safety and supporting high-quality industry development [5].